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Handwerkliches für den Mathematikunterricht: Für Lehramtsstudierende, Berufseinsteiger und Seiteneinsteiger (essentials)

Rolf J. Neveling stellt angehenden Lehrerinnen und Lehrern das Handwerkszeug für einen guten Mathematikunterricht vor. Im Zentrum seines essentials steht der reguläre, unspektakuläre Unterricht. Der Autor erläutert die Gestaltung von Stunden, die Motivation im schulischen Alltag, die Vorbereitung und das Schreiben von Klausuren, die Vorbereitung schriftlicher und mündlicher Prüfungen, die Notengebung sowie die Verwendung von Medien. Didaktische Vorstellungen spielen dabei natürlich eine Rolle, sie stehen aber zugunsten der praktischen Beispiele und Tipps im Hintergrund.Der Autor: Dr. Rolf J. Neveling unterrichtete viele Jahre an einem Gymnasium in Wuppertal; er arbeitete einige Jahre als Lehrer im Hochschuldienst an der Technischen Universität Dortmund und führte Lehraufträge an der Universität Siegen durch. Lange gehörte er zudem der Redaktion des Mathetreffs der Bezirksregierung Düsseldorf an. Der Einsatz von Rechnern in mathematischen Lernprozessen ist eines seiner Interessengebiete und war auch Thema seiner Promotion.

KS3 MATHS YEAR 9 WORKBOOK (Collins KS3 Revision Ser. (PDF))

Level: KS3 Subject: Maths Based on robust research that proves repeated practice is more effective than repeated study, this Maths workbook provides focused skills practice for all the maths topics relevant to Year 9. Students are encouraged to achieve the best possible results and additional practice will help to build confidence. Packed with practice questions to reinforce and test understanding of all the mathematical concepts and skills taught in school, this Maths workbook allows students to practice the key skills taught at Key Stage 3. Included in this book: • practice in problem solving, reasoning and financial skills • help to ensure mathematical fluency

Public Economics: The Macroeconomic Perspective (Springer Texts in Business and Economics)

Today, the most pressing challenges for public economics are of macroeconomic nature: pensions, debt, income distribution, and fiscal sustainability. All these problems are compounded by the phenomenon of demographic transition and aging. This graduate textbook addresses these issues with the help of state-of-the-art macroeconomic tools that are based on a sound microfoundation and rooted in empirical evidence. Different from the standard partial-equilibrium analysis in traditional textbooks on public economics, the concept of general equilibrium helps to account for compensating or amplifying side-effects of economic policy. GAUSS and MATLAB computer code as well as teaching material (slides) are available as downloads from the author's homepage.

Heterogene Lerngruppen im Mathematikunterricht der Grundschule: Design Research im Rahmen substanzieller Lernumgebungen (Essener Beiträge zur Mathematikdidaktik)

Stephanie Weskamp untersucht, wie geeignete Lernumgebungen konzipiert werden können, die individuellen Lernbedürfnissen und -potenzialen von Schülerinnen und Schülern im Mathematikunterricht der Grundschule gerecht werden. Entsprechende Lernsituationen zu verschiedenen mathematischen Themen werden qualitativ und unter verschiedenen Perspektiven analysiert. Im Sinne eines Design-Research-Ansatzes zielt die Studie auf die theoriebasierte Entwicklung und Erprobung substanzieller Lernumgebungen für den Mathematikunterricht und trägt zur Entwicklung lokaler Theorien hinsichtlich mathematischer Bearbeitungsprozesse bei. Bei der Entwicklung von Lernumgebungen sind verschiedene Faktoren zu berücksichtigen, z. B. die eingesetzten Aufgaben, der Einsatz von Materialien, Interventionen der Lehrperson, wobei sich teilweise komplexe Wirkungsweisen zeigen.

Proceedings of the 2nd International Conference on BioGeoSciences: Modeling Natural Environments

This book features a selection of works presented in the 2nd International Conference on BioGeoSciences in a unified framework. First, it describes several theoretical tools for the mathematical modelling of natural processes and environments, such as Quantitative Habitability Theory, dynamical systems and artificial intelligence. It then outlines applications to the broad and multifaceted area of the natural sciences and environmental engineering. This highly interdisciplinary book includes case studies with a wide range of spatio-temporal scales: from ecosystem- to astrobiological-cosmological scales.

Precast Segmental Box Girders: Experimental and Analytical Approaches (SpringerBriefs in Applied Sciences and Technology)

This book explores the fundamentals of the elastic behaviour of erected precast segmental box girders (SBG) when subjected to static load, as well as the construction process (casting and erection work) involved. It analyzes and compares the experimental results with those obtained using the finite element method and theoretical calculations. A short-term deflection analysis for different loads is obtained by determining the maximum deflection, stress and strain value of single span precast SBG under a variety of transversal slope. The outcome of this work provides a better understanding of the behaviour of precast SBG in terms of structural responses as well as defects, so that maintenance work can then be focused on the critical section at mid span area specifically for the bridge project longitudinally and transversely. The book is of interest to industry professionals involved in conducting static load tests on bridges, and all researchers, designers, and engineers seeking to validate experimental work with numerical and analytical approaches.

Applied Mathematics and Scientific Computing: International Conference on Advances in Mathematical Sciences, Vellore, India, December 2017 - Volume II (Trends in Mathematics)

This volume is the first of two containing selected papers from the International Conference on Advances in Mathematical Sciences (ICAMS), held at the Vellore Institute of Technology in December 2017. This meeting brought together researchers from around the world to share their work, with the aim of promoting collaboration as a means of solving various problems in modern science and engineering. The authors of each chapter present a research problem, techniques suitable for solving it, and a discussion of the results obtained. These volumes will be of interest to both theoretical- and application-oriented individuals in academia and industry.Papers in Volume I are dedicated to active and open areas of research in algebra, analysis, operations research, and statistics, and those of Volume II consider differential equations, fluid mechanics, and graph theory.

Ordinary Differential Equations: Mathematical Tools for Physicists

This textbook describes rules and procedures for the use of Differential Operators (DO) in Ordinary Differential Equations (ODE). The book provides a detailed theoretical and numerical description of ODE. It presents a large variety of ODE and the chosen groups are used to solve a host of physical problems. Solving these problems is of interest primarily to students of science, such as physics, engineering, biology and chemistry. Scientists are greatly assisted by using the DO obeying several simple algebraic rules. The book describes these rules and, to help the reader, the vocabulary and the definitions used throughout the text are provided. A thorough description of the relatively straightforward methodology for solving ODE is given. The book provides solutions to a large number of associated problems. ODE that are integrable, or those that have one of the two variables missing in any explicit form are also treated with solved problems. The physics and applicable mathematics are explained and many associated problems are analyzed and solved in detail. Numerical solutions are analyzed and the level of exactness obtained under various approximations is discussed in detail.

Mathematische Methoden der Theoretischen Physik | 2: Wahrscheinlichkeitstheorie – Funktionentheorie - Partielle Differentialgleichungen

​Das vorliegende Buch behandelt die wichtigsten mathematischen Themen der Vorlesungen über Theoretische Physik. Es ergänzt damit die mathematischen Grundlagen, die Studierende der Physik im Rahmen der Vorlesungen über Analysis und Linearen Algebra vermittelt bekommen. Der Autor verzichtet dabei zwar gelegentlich auf ausführliche Beweise, nicht aber auf eine präzise Formulierung der Sachverhalte. Zahlreiche physikalische Beispiele sollen ein gründliches Verständnis der mathematischen Zusammenhänge befördern und deren Bedeutung für unser Naturverständnis erschließen. Eine Sammlung von Aufgaben am Ende des jeweiligen Kapitels bietet den Leserinnen und Lesern Gelegenheit zur Übung.Der Inhalt dieses Teils deckt die Wahrscheinlichkeitslehre, Funktionentheorie und partielle Differentialgleichungen ab und liefert eine Übersicht über wichtige spezielle Funktionen sowie Distributionen. Das Buch begleitet so mathematisch die Grundvorlesungen der Theoretischen Physik.Es bietet dabei nicht nur die notwendigen Grundlagen, sondern auch vertiefende Themen, die über den regulären Kanon hinausgehen oder eine konkrete Anwendung des Behandelten aufzeigen. Für eine effiziente Verwendung sind diese Kapitel klar mit einem Stern gekennzeichnet und können damit beim ersten Lesen übersprungen werden. Somit kann dieses Werk begleitend zu den Vorlesungen eingesetzt werden, aber auch darüber hinaus zur eigenständigen Verfestigung quer über verschiedene Themenbereiche hinweg anleiten.

Longitudinal Data Analysis: Autoregressive Linear Mixed Effects Models (SpringerBriefs in Statistics)

This book provides a new analytical approach for dynamic data repeatedly measured from multiple subjects over time. Random effects account for differences across subjects. Auto-regression in response itself is often used in time series analysis. In longitudinal data analysis, a static mixed effects model is changed into a dynamic one by the introduction of the auto-regression term. Response levels in this model gradually move toward an asymptote or equilibrium which depends on covariates and random effects. The book provides relationships of the autoregressive linear mixed effects models with linear mixed effects models, marginal models, transition models, nonlinear mixed effects models, growth curves, differential equations, and state space representation. State space representation with a modified Kalman filter provides log likelihoods for maximum likelihood estimation, and this representation is suitable for unequally spaced longitudinal data. The extension to multivariate longitudinal data analysis is also provided. Topics in medical fields, such as response-dependent dose modifications, response-dependent dropouts, and randomized controlled trials are discussed. The text is written in plain terms understandable for researchers in other disciplines such as econometrics, sociology, and ecology for the progress of interdisciplinary research.

Dynamic Stability of Columns under Nonconservative Forces: Theory and Experiment (Solid Mechanics and Its Applications #255)

This book treats dynamic stability of structures under nonconservative forces. it is not a mathematics-based, but rather a dynamics-phenomena-oriented monograph, written with a full experimental background. Starting with fundamentals on stability of columns under nonconservative forces, it then deals with the divergence of Euler’s column under a dead (conservative) loading from a view point of dynamic stability. Three experiments with cantilevered columns under a rocket-based follower force are described to present the verifiability of nonconservative problems of structural stability. Dynamic stability of columns under pulsating forces is discussed through analog experiments, and by analytical and experimental procedures together with related theories. Throughout the volume the authors retain a good balance between theory and experiments on dynamic stability of columns under nonconservative loading, offering a new window to dynamic stability of structures, promoting student- and scientist-friendly experiments.

Multivariate Extreme Value Theory and D-Norms (Springer Series in Operations Research and Financial Engineering)

This monograph compiles the contemporary knowledge about D-norms and provides an introductory tour through the essentials of multivariate extreme value theory. Following a clear introduction of D-norms, this book introduces links with the theory through multivariate generalized Pareto distributions and max stable distributions. Further views on D-norms from a functional analysis perspective and from stochastic geometry underline the aim of this book to reveal mathematical structures. This book is intended for mathematicians with a basic knowledge of analysis and probability theory, including Fubini's theorem.

Network Games, Control, and Optimization: Proceedings of NETGCOOP 2018, New York, NY (Static & Dynamic Game Theory: Foundations & Applications)

This contributed volume offers a collection of papers presented at the 2018 Network Games, Control, and Optimization conference (NETGCOOP), held at the New York University Tandon School of Engineering in New York City, November 14-16, 2018. These papers highlight the increasing importance of network control and optimization in many networking application domains, such as mobile and fixed access networks, computer networks, social networks, transportation networks, and, more recently, electricity grids and biological networks. Covering a wide variety of both theoretical and applied topics in the areas listed above, the authors explore several conceptual and algorithmic tools that are needed for efficient and robust control operation, performance optimization, and better understanding the relationships between entities that may be acting cooperatively or selfishly in uncertain and possibly adversarial environments. As such, this volume will be of interest to applied mathematicians, computer scientists, engineers, and researchers in other related fields.

Rechenmethoden für Studierende der Physik im ersten Jahr: Einfach und praktisch erklärt

Matrizen und Indizes bereiten euch Angst und Schrecken? Integration in krummlinigen Koordinaten ist ein Buch mit sieben Siegeln? Und was der Satz von Stokes für die Elektrodynamik sagen möchte, ist ebenfalls ein Rätsel? Dann ist dieses Lehrbuch genau der richtige Begleiter für euch!Die Rechentechniken, die ihr in den ersten Semestern im Physikstudium braucht, werden hier motivierend eingeführt und anhand zahlreicher, unterhaltsamer Beispiele demonstriert. Auf typische Fallen und nützliche Tricks weist euch der Autor ebenso hin - und lässt dabei seine eigenen Erfahrungen als Student, Tutor und Übungsleiter einfließen. Wichtige Rechnungen werden komplett ausgeschrieben und auf mathematische Beweise bewusst verzichtet.Zuerst werden euch die wichtigsten mathematischen Grundlagen vorgestellt: Vektoren, Matrizen, komplexe Zahlen, Ableitungen, Integrale, Differenzialgleichungen, Vektoranalysis und Fourier-Entwicklung sind danach kein Hexenwerk mehr. Anschließend wird das Gelernte auf einfache physikalische Probleme in der Mechanik und Elektrodynamik angewendet.Am Ende eines jeden Abschnitts oder Kapitels gibt es für euch einen „Spickzettel“, auf dem alle wesentlichen Formeln und Zusammenhänge zusammengefasst sind. Neben den Beispielen findet ihr in der neuen Auflage auch komplexere Hausübungsaufgaben - Lösungen inklusive. Anhand von zwei typischen Übungsklausuren könnt ihr euer Wissen abschließend testen.

Murray Gell-Mann and the Physics of Quarks (Classic Texts in the Sciences)

Murray Gell-Mann, Physics Nobel Prize Laureate in 1969 is known for his theoretical work on elementary particle physics and the introduction of quarks and together with H. Fritzsch the “Quantum Chromodynamics”. Based on four sections the Editor gives an overview on the work of Gell-Mann and his contributions to various aspects of the physics, related to quarks. His most important and influential papers were selected and reprinted so that the reader easily can check the original work of Gell-Mann.

A Computational Approach to Statistical Learning (Chapman & Hall/CRC Texts in Statistical Science)

A Computational Approach to Statistical Learning gives a novel introduction to predictive modeling by focusing on the algorithmic and numeric motivations behind popular statistical methods. The text contains annotated code to over 80 original reference functions. These functions provide minimal working implementations of common statistical learning algorithms. Every chapter concludes with a fully worked out application that illustrates predictive modeling tasks using a real-world dataset. The text begins with a detailed analysis of linear models and ordinary least squares. Subsequent chapters explore extensions such as ridge regression, generalized linear models, and additive models. The second half focuses on the use of general-purpose algorithms for convex optimization and their application to tasks in statistical learning. Models covered include the elastic net, dense neural networks, convolutional neural networks (CNNs), and spectral clustering. A unifying theme throughout the text is the use of optimization theory in the description of predictive models, with a particular focus on the singular value decomposition (SVD). Through this theme, the computational approach motivates and clarifies the relationships between various predictive models. Taylor Arnold is an assistant professor of statistics at the University of Richmond. His work at the intersection of computer vision, natural language processing, and digital humanities has been supported by multiple grants from the National Endowment for the Humanities (NEH) and the American Council of Learned Societies (ACLS). His first book, Humanities Data in R, was published in 2015. Michael Kane is an assistant professor of biostatistics at Yale University. He is the recipient of grants from the National Institutes of Health (NIH), DARPA, and the Bill and Melinda Gates Foundation. His R package bigmemory won the Chamber's prize for statistical software in 2010. Bryan Lewis is an applied mathematician and author of many popular R packages, including irlba, doRedis, and threejs.

Connecting Humans to Equations: A Reinterpretation of the Philosophy of Mathematics (History of Mathematics Education)

Connecting Humans to Equations: A Reinterpretation of the Philosophy of Mathematics presents some of the most important positions in the philosophy of mathematics, while adding new dimensions to this philosophy. Mathematics is an integral part of human and social life, meaning that a philosophy of mathematics must include several dimensions. This book describes these dimensions by the following four questions that structure the content of the book: Where is mathematics? How certain is mathematics? How social is mathematics? How good is mathematics? These four questions refer to the ontological, epistemological, social, and ethical dimension of a philosophy of mathematics. While the ontological and epistemological dimensions have been explored in all classic studies in the philosophy of mathematics, the exploration of the book is unique in its social and ethical dimensions. It argues that the foundation of mathematics is deeply connected to human and social actions and that mathematics includes not just descriptive but also performative features. This human-centered and accessible interpretation of mathematics is relevant for students in mathematics, mathematics education, and any technical discipline and for anybody working with mathematics.

National 4 Maths (PDF)

Teach lessons that suit the individual needs of your students with this SQA endorsed and flexibly structured resource that provides a suggested approach through all three units.

An Introduction to Random Currents and Their Applications (SpringerBriefs in Mathematics)

This book introduces random currents by presenting underlying mathematical methods necessary for applications. The theory of currents is an advanced topic in geometric measure theory that extends distribution to linear functionals within the space of differential forms of any order. Methods to extend random distributions to random currents are introduced and analyzed in this book. Beginning with an overview of mathematical aspects of the theory of currents, this book moves on to examine applications in medicine, material science, and image analysis. Applied researchers will find the practical modern mathematical methods along with the detailed appendix useful to stimulate new applications and research.

Principles and Practice of Constraint Programming: 24th International Conference, CP 2018, Lille, France, August 27-31, 2018, Proceedings (Lecture Notes in Computer Science #11008)

This book constitutes the proceedings of the 24th International Conference on Principles and Practice of Constraint Programming, CP 2018, held in Lille, France, in August 2018.The 41 full and 9 short papers presented in this volume were carefully reviewed and selected from 114 submissions. They deal with all aspects of computing with constraints including theory, algorithms, environments, languages, models, systems, and applications such as decision making, resource allocation, scheduling, configuration, and planning. The papers were organized according to the following topics/tracks: main technical track; applications track; CP and data science; CP and music; CP and operations research; CP, optimization and power system management; multiagent and parallel CP; and testing and verification.

A Level Further Mathematics For AQA Mechanics Student Book (AS/A Level Further Mathematics AQA Ser. (PDF))

New 2017 Cambridge A Level Maths and Further Maths resources to help students with learning and revision. Written for the AQA AS/A Level Further Mathematics specification for first teaching from 2017, this print Student Book covers the Mechanics content for AS and A Level. It balances accessible exposition with a wealth of worked examples, exercises and opportunities to test and consolidate learning, providing a clear and structured pathway for progressing through the course. It is underpinned by a strong pedagogical approach, with an emphasis on skills development and the synoptic nature of the course. Includes answers to aid independent study. This book has entered an AQA approval process.

Statistics And Econometric Models (Themes In Modern Econometrics Ser. (PDF))

This is the first volume in a major two-volume set of advanced texts in econometrics. It is essentially a text in statistics which is adapted to deal with economic phenomena. Christian Gourieroux and Alain Monfort have written a text which synthesises a great deal of material scattered across a variety of books and journals. They present both the basic and the more sophisticated statistical models which are crucial to an understanding of econometric models, and have taken care to employ mathematical tools with which a majority of students with a basic course in econometrics will be familiar. One of the most attractive features of the books is the liberal use throughout of real-world economic examples. They are also distinctive for their emphasis on promoting an intuitive understanding of the models and results at the expense of overly technical discussions.

Regression Analysis with Python

An Introduction to Complex Systems: Making Sense of a Changing World​

This book explores the interdisciplinary field of complex systems theory. By the end of the book, readers will be able to understand terminology that is used in complex systems and how they are related to one another; see the patterns of complex systems in practical examples; map current topics, in a variety of fields, to complexity theory; and be able to read more advanced literature in the field. The book begins with basic systems concepts and moves on to how these simple rules can lead to complex behavior. The author then introduces non-linear systems, followed by pattern formation, and networks and information flow in systems. Later chapters cover the thermodynamics of complex systems, dynamical patterns that arise in networks, and how game theory can serve as a framework for decision making. The text is interspersed with both philosophical and quantitative arguments, and each chapter ends with questions and prompts that help readers make more connections.

Crowd Dynamics, Volume 1: Theory, Models, and Safety Problems (Modeling and Simulation in Science, Engineering and Technology)

This volume explores the complex problems that arise in the modeling and simulation of crowd dynamics in order to present the state-of-the-art of this emerging field and contribute to future research activities. Experts in various areas apply their unique perspectives to specific aspects of crowd dynamics, covering the topic from multiple angles. These include a demonstration of how virtual reality may solve dilemmas in collecting empirical data; a detailed study on pedestrian movement in smoke-filled environments; a presentation of one-dimensional conservation laws with point constraints on the flux; a collection of new ideas on the modeling of crowd dynamics at the microscopic scale; and others. Applied mathematicians interested in crowd dynamics, pedestrian movement, traffic flow modeling, urban planning, and other topics will find this volume a valuable resource. Additionally, researchers in social psychology, architecture, and engineering may find this information relevant to their work.